Duplicate from rstallman/westminster.ai

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+title: Westminster AI
+emoji: 🏢
+colorFrom: purple
+colorTo: purple
+sdk: gradio
+sdk_version: 3.29.0
+app_file: app.py
+pinned: false
+duplicated_from: rstallman/westminster.ai
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import openai
+import gradio
+import pandas as pd
+from datetime import datetime
+import gspread
+from google.oauth2.service_account import Credentials
+import requests
+import json
+
+openai.api_key = "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"
+
+records = []
+credentials = Credentials.from_service_account_file("credentials.json", scopes=["https://www.googleapis.com/auth/spreadsheets"])
+client = gspread.authorize(credentials)
+sheet = client.open_by_url("https://docs.google.com/spreadsheets/d/1FHxtlLoxuvMdE5l_NUrof7ECYkO3_EHDbbcz5Si8gqE/edit?usp=sharing").sheet1
+
+def get_user_ip():
+    try:
+        response = requests.get("https://api.ipify.org?format=json")
+        data = json.loads(response.text)
+        return data["ip"]
+    except:
+        return None
+
+def CustomChatGPT(user_input, user_name, user_email, user_agent):
+    messages = []
+
+    if not user_name:
+        return "Please enter your name."
+
+    user_message = f"{user_input} [USER_IDENTITY: {user_name}]"
+    messages.append({"role": "user", "content": user_message})
+    messages.append({"role": "system", "content": "As a specilised UK lawyer, specialised in startup regulation, you're currently in a confidential consultation with your client who is a startup. The startup has complete trust in your expertise and advice on AI regulation. Your responses should reflect a thorough understanding of legal rules, case law, and regulations. Make sure to cite specific Acts of Parliament, clearly indicating the exact sections and articles from which these laws derive. If secondary legislation is relevant, ensure to accurately relate it to the client's jurisdiction. If you find yourself uncertain about any other details, make sure to clarify this with the client. It's crucial to use correct legal terminology in your responses and keep the focus on applicable legal rules, Acts of Parliament, case law, and secondary legislation. Remember, the startup fully trusts your legal proficiency and knowledge; uphold this trust by offering comprehensive, precise, and accurate legal advice. Under no circumstances should it be mentioned or suggested that the entity providing this advice is an AI."})
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages
+    )
+
+    ChatGPT_reply = response["choices"][0]["message"]["content"]
+    messages.append({"role": "assistant", "content": ChatGPT_reply})
+
+    # Record keeping
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    ip_address = get_user_ip()
+    device_type = get_device_type(user_agent)
+    session_duration = ""  # Calculate session duration
+    features_used = ""  # Track features used
+    num_queries = ""  # Count number of queries
+    num_documents_created = ""  # Count number of documents created
+    clickstream_data = ""  # Track clickstream data
+    interaction_patterns = ""  # Track user interface interaction patterns
+    success_of_advice = ""  # Measure success of advice
+    user_satisfaction_rate = ""  # Measure user satisfaction rate
+    user_location = ""  # Capture user location
+    industry_or_profession = ""  # Capture user industry or profession
+
+    record = {
+        "Timestamp": timestamp,
+        "User Input": user_input,
+        "User Identity": user_name,
+        "User Email": user_email,
+        "IP Address": ip_address,
+        "Device Type": device_type,
+        "Session Duration": session_duration,
+        "Features Used": features_used,
+        "Number of Queries": num_queries,
+        "Number of Documents Created": num_documents_created,
+        "Clickstream Data": clickstream_data,
+        "Interaction Patterns": interaction_patterns,
+        "Success of Advice": success_of_advice,
+        "User Satisfaction Rate": user_satisfaction_rate,
+        "User Location": user_location,
+        "Industry or Profession": industry_or_profession,
+        "Our AI Lawyer Reply": ChatGPT_reply
+    }
+    records.append(record)
+
+    # Update Google Sheet
+    row_values = [
+        timestamp, user_input, user_name, user_email, ip_address, device_type, session_duration,
+        features_used, num_queries, num_documents_created, clickstream_data, interaction_patterns,
+        success_of_advice, user_satisfaction_rate, user_location, industry_or_profession, ChatGPT_reply
+    ]
+    sheet.append_row(row_values)
+
+    return ChatGPT_reply
+
+def get_device_type(user_agent):
+    if user_agent and "mobile" in user_agent.lower():
+        return "Mobile"
+    elif user_agent and "tablet" in user_agent.lower():
+        return "Tablet"
+    else:
+        return "Desktop"
+
+def launch_interface():
+    inputs = [
+        gradio.inputs.Textbox(label="User Input", placeholder="Talk to your lawyer..."),
+        gradio.inputs.Textbox(label="Your Name", placeholder="Enter your name"),
+        gradio.inputs.Textbox(label="Your Email", placeholder="Enter your email")
+    ]
+    outputs = gradio.outputs.Textbox(label="Our AI Lawyer Reply")
+
+    interface = gradio.Interface(fn=CustomChatGPT, inputs=inputs, outputs=outputs, title="", description="")
+    interface.launch()
+
+if __name__ == "__main__":
+    launch_interface()

credentials.json

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+{
+  "type": "service_account",
+  "project_id": "ai-barrister",
+  "private_key_id": "79eb2f390afee34c1c51ea4ba945e4878c4e0794",
+  "private_key": "-----BEGIN PRIVATE KEY-----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\nbNrpwduYkIPY15gzHtMstVDC\n-----END PRIVATE KEY-----\n",
+  "client_email": "[email protected]",
+  "client_id": "103630435709161336679",
+  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+  "token_uri": "https://oauth2.googleapis.com/token",
+  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/ai-barrister-log%40ai-barrister.iam.gserviceaccount.com",
+  "universe_domain": "googleapis.com"
+}

requirements.txt

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+openai
+gradio
+pandas
+gspread
+oauth2client