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License.md

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+# MIT License
+
+Copyright (c) 2023 DjPapzin
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

Procfile

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+web: sh setup.sh && streamlit run app.py

README.md

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----
-title: AI Bot Recommendation
-emoji: 🚀
-colorFrom: green
-colorTo: blue
-sdk: streamlit
-sdk_version: 1.26.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# AI Survey Bot Recommendation
+
+This is a Streamlit app that allows users to answer a couple of questions and get a tailor-made response from an AI chatbot. The chatbot uses OpenAI GPT-3.5 Turbo to generate responses based on the user's input.
+
+## Live Demo
+
+You can test the live application here: [AI Survey Bot Recommendation](https://ai-survey-bot-recommendation-9e6213040391.herokuapp.com/)
+
+## Key files
+
+- **app.py** - Main Streamlit app code
+- **requirements.txt** - Python dependencies
+- **setup.sh** - Heroku config script
+
+## Installation
+
+1. Clone the repository:
+
+   ```bash
+   git clone https://github.com/your-username/your-repo.git
+   ```
+
+2. Install the dependencies:
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. Set up the environment variables:
+
+   - Create a `.env` file in the root directory of the project.
+   - Add the following variables to the `.env` file:
+
+     ```plaintext
+     OPENAI_API_KEY=your-openai-api-key
+     EMAIL=your-email
+     PASSWORD=your-password
+     ```
+
+4. Run the app:
+
+   ```bash
+   streamlit run app.py
+   ```
+
+## Usage
+
+1. Open the app in your browser.
+2. Answer the questions presented on the app.
+3. Click the "Submit" button to get the chatbot response.
+4. The chatbot response will be displayed on the app.
+5. The chatbot response will also be sent to the email address provided.
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.

app.py

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+import streamlit as st
+from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
+from langchain.schema import SystemMessage, HumanMessage
+import openai
+import smtplib
+from email.mime.text import MIMEText
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Set up OpenAI API credentials
+openai.api_key = os.getenv("OPENAI_API_KEY")
+email = os.getenv('EMAIL')
+password = os.getenv('PASSWORD')
+
+def main():
+    st.title("AI Survey Bot Recommendation")
+    st.write("**Answer a couple of questions to get a tailor-made response.**")
+
+    # Question 1
+    name = st.text_input("**Question 1: What is your name?**")
+
+    # Question 2
+    company_name = st.text_input("**Question 2: What is your company name?**")
+
+    # Question 3
+    company_location = st.text_input("**Question 3: Where is your company located?**")
+
+    # Question 4    
+    st.write("**Question 4: Are any of these a problem in your business?**")
+    # Create a list of problems
+    problems = [
+        "**Getting leads**",
+        "**Closing sales**",
+        "**Retaining customers**",
+        "**Finding the right talent**",
+        "**Not having enough time**",
+        "**Customer support**",
+        "**Strategic thinking**",
+        "**Other**"
+    ]
+    # Create two columns with equal width
+    col1, col2 = st.columns(2)
+    # Loop through the problems and create checkboxes in each column
+    for i, problem in enumerate(problems):
+        # Use the modulo operator to alternate between columns
+        if i % 2 == 0:
+            col1.checkbox(label=problem, key=problem)
+        else:
+            col2.checkbox(label=problem, key=problem)
+    # If Other is selected, prompt the user for more explanation
+    other_problem = ""
+    if st.session_state.get("Other"):
+        other_problem = st.text_input("**Can you give a further explanation of the problem?**")
+
+    # Question 5
+    time_consumers = st.text_area("**Question 5: What are the three biggest time consumers or deficiencies of your business?**")
+
+    # Question 6
+    strategy_struggles = st.text_area("**Question 6: When coming up with strategy, what are the struggles there?**")
+
+    # Question 7
+    email = st.text_input("**Question 7: Enter your Email to get the custom answers sent to you**")
+
+    # Submit button
+    if st.button("Submit"):
+        # Save the survey data and send it to the user
+        send_survey_results(name, company_name, company_location, problems, other_problem, time_consumers, strategy_struggles, email)
+
+def send_survey_results(name, company_name, company_location, problems, other_problem, time_consumers, strategy_struggles, email):
+    # Generate chatbot response using OpenAI GPT-3.5 Turbo
+    system_message_template = SystemMessagePromptTemplate.from_template(
+        template="You are a helpful assistant that recommends AI tools based on user's business needs."
+    )
+    human_message_template = HumanMessagePromptTemplate.from_template(template="{text}")
+
+    chat_prompt = ChatPromptTemplate.from_messages([system_message_template, human_message_template])
+
+    messages = chat_prompt.format_prompt(text=f"I am {name}, representing {company_name} located in {company_location}. We are facing the following problems in our business: {', '.join(problems)}. {other_problem}. The three biggest time consumers or deficiencies in our business are: {time_consumers}. When coming up with strategy, we struggle with: {strategy_struggles}.").to_messages()
+
+    messages_dict = []
+    for message in messages:
+        if isinstance(message, SystemMessage):
+            messages_dict.append({"role": "system", "content": message.content})
+        elif isinstance(message, HumanMessage):
+            messages_dict.append({"role": "user", "content": message.content})
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages_dict,
+        max_tokens=100,
+        n=1,
+        stop=None,
+        temperature=0.7,
+        top_p=1.0,
+        frequency_penalty=0.0,
+        presence_penalty=0.0
+    )
+
+    # Extract the chatbot response
+    chatbot_response = response.choices[0].message.content.strip()
+
+    # Display the chatbot response
+    st.subheader("Chatbot Response")
+    st.write(chatbot_response)
+
+    # Send the survey results to the user via email
+    send_email(email, chatbot_response)
+
+def send_email(email, message):
+    # Set up the email parameters
+    sender = "L.fanampe@gmail.com"
+    receiver = email
+    subject = "Chatbot Response"
+    body = message
+
+    # Create the email message
+    email_message = MIMEText(body)
+    email_message["Subject"] = subject
+    email_message["From"] = sender
+    email_message["To"] = receiver
+
+    # Send the email
+    with smtplib.SMTP("smtp.gmail.com", 587) as server:
+        server.starttls()
+        server.login(email, password)
+        server.sendmail(sender, receiver, email_message.as_string())
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit
+python-dotenv
+langchain
+openai

setup.sh

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+mkdir -p ~/.streamlit/
+
+echo "\
+[server]\n\
+headless = true\n\
+enableCORS=false\n\
+port = $PORT\n\
+" > ~/.streamlit/config.toml