sync with main

app.py

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+import os
+import streamlit as st
+import openai
+
+# -----------------------------------------------------------------------------
+# Configuration and API Key Setup
+# -----------------------------------------------------------------------------
+# For security, it is recommended to set your API key as an environment variable
+# or use Streamlit's secrets management. For example, in Streamlit Cloud, you can
+# add openai.api_key in your secrets.toml.
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# -----------------------------------------------------------------------------
+# Helper Functions
+# -----------------------------------------------------------------------------
+def generate_prompt(topic, output_format, tone, length, creativity, creative_mode, fact_checking):
+    """
+    Dynamically constructs the prompt based on the user's inputs.
+    """
+    # Start with the basic topic text
+    prompt = f"Topic: {topic}\n\n"
+    
+    # Specify the desired output format and tone
+    prompt += f"Please generate a {output_format} with a {tone} tone.\n"
+    
+    # Include any additional instructions based on options
+    if creative_mode:
+        prompt += "Use creative language and storytelling techniques.\n"
+    if fact_checking:
+        prompt += "Ensure the facts mentioned are accurate.\n"
+    
+    # Add instructions for length and creativity level
+    prompt += f"The text should be approximately {length} words long.\n"
+    prompt += f"Please adjust the creativity level to {creativity} (scale 1-10).\n"
+    
+    return prompt
+
+def call_openai_api(prompt, num_responses):
+    """
+    Calls the OpenAI API with the constructed prompt and returns generated responses.
+    """
+    try:
+        responses = []
+        for _ in range(num_responses):
+            # You can adjust model name and parameters as needed.
+            response = openai.Completion.create(
+                engine="text-davinci-003",  # or use any model of your choice
+                prompt=prompt,
+                max_tokens=300,  # Adjust based on expected output length
+                temperature=0.7,  # Adjust creativity level (temperature)
+                top_p=1,
+                n=1,
+                stop=None,
+            )
+            generated_text = response.choices[0].text.strip()
+            responses.append(generated_text)
+        return responses
+
+    except Exception as e:
+        st.error(f"An error occurred while generating text: {e}")
+        return None
+
+# -----------------------------------------------------------------------------
+# Streamlit User Interface
+# -----------------------------------------------------------------------------
+st.title("AI-Powered Text Generation App")
+st.write("Generate text using AI based on your inputs.")
+
+# --- Input Fields ---
+# Text area for providing the core topic or initial text.
+topic = st.text_area("Enter the topic or initial text", placeholder="Type your topic here...", height=150)
+
+# Dropdown for selecting the desired output format.
+output_format = st.selectbox(
+    "Select the output format",
+    options=["story", "poem", "article", "code"],
+    index=0
+)
+
+# Dropdown for selecting the desired tone or style.
+tone = st.selectbox(
+    "Select the tone or style",
+    options=["formal", "informal", "humorous", "technical"],
+    index=0
+)
+
+# Slider for controlling the approximate length of the generated text.
+length = st.slider("Select the approximate word count", min_value=50, max_value=1000, value=200, step=50)
+
+# Slider for controlling the creativity level.
+creativity = st.slider("Set the creativity level (1: less creative, 10: more creative)", min_value=1, max_value=10, value=7)
+
+# Numeric input for specifying the number of responses to generate.
+num_responses = st.number_input("Number of responses to generate", min_value=1, max_value=5, value=1, step=1)
+
+# Checkboxes for enabling or disabling specific features.
+creative_mode = st.checkbox("Enable creative mode", value=True)
+fact_checking = st.checkbox("Enable fact-checking", value=False)
+
+# Button to trigger text generation.
+if st.button("Generate Text"):
+    if not topic.strip():
+        st.warning("Please enter a topic or some initial text before generating content.")
+    else:
+        with st.spinner("Generating text..."):
+            # Construct the prompt from the user inputs.
+            prompt = generate_prompt(topic, output_format, tone, length, creativity, creative_mode, fact_checking)
+            st.write("**Constructed Prompt:**")
+            st.code(prompt, language="text")
+
+            # Call the OpenAI API to generate text responses.
+            responses = call_openai_api(prompt, num_responses)
+            
+            if responses:
+                st.success("Text generated successfully!")
+                # Display each response in a well-formatted manner.
+                for idx, response in enumerate(responses, start=1):
+                    st.markdown(f"### Response {idx}")
+                    
+                    # Use different formatting based on output format.
+                    if output_format.lower() == "code":
+                        st.code(response, language="python")
+                    else:
+                        st.write(response)
+                    
+                    # Feedback section (placeholder for like/dislike buttons and comments)
+                    col1, col2 = st.columns(2)
+                    with col1:
+                        if st.button(f"👍 Like (Response {idx})"):
+                            st.info("Thank you for your feedback!")
+                    with col2:
+                        if st.button(f"👎 Dislike (Response {idx})"):
+                            st.info("Thank you for your feedback!")
+                    
+                    # Optionally, you can add a text input for comments.
+                    feedback = st.text_input(f"Leave a comment for Response {idx} (optional)", key=f"feedback_{idx}")
+                    if feedback:
+                        st.write("Your comment:", feedback)
+
+# -----------------------------------------------------------------------------
+# Additional Considerations
+# -----------------------------------------------------------------------------
+st.markdown("---")
+st.info("This is a prototype application. In a production environment, ensure to implement proper security, error logging, and user authentication as needed.")

requirements.txt

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+streamlit
+openai