updated

app/app.py

@@ -38,22 +38,15 @@ def count_text_stats(text):
 def analyze_with_llm(text):
     if not st.session_state.openai_api_key:
         st.error("Please provide an OpenAI API key in the sidebar")
-        return None, None
-        
+        return None, None, None
     try:
         client = OpenAI(api_key=st.session_state.openai_api_key)
-        
         response = client.chat.completions.create(
             model="gpt-3.5-turbo-1106",
             messages=[
                 {
                     "role": "system",
-                    "content": """You are a text analysis expert. Your task is to separate a conversation into the prompt/question and the response/answer. 
-                    Return ONLY a JSON object with three fields:
-                    - title: a short, descriptive title for the conversation (max 6 words)
-                    - prompt: the user's question or prompt
-                    - output: the response or answer
-                    If you cannot clearly identify any part, set it to null."""
+                    "content": """You are a text analysis expert. Your task is to separate a conversation into the prompt/question and the response/answer. Return ONLY a JSON object with three fields: - title: a short, descriptive title for the conversation (max 6 words) - prompt: the user's question or prompt - output: the response or answer If you cannot clearly identify any part, set it to null."""
                 },
                 {
                     "role": "user",
@@ -61,26 +54,22 @@ def analyze_with_llm(text):
                 }
             ],
             temperature=0,
-            response_format={ "type": "json_object" }
+            response_format={"type": "json_object"}
         )
-        
         result = response.choices[0].message.content
         parsed = json.loads(result)
         return parsed.get("title"), parsed.get("prompt"), parsed.get("output")
-        
     except Exception as e:
-        st.error(f"Error analyzing text: {str(e)}")
-        return None, None, None
+      st.error(f"Error analyzing text: {str(e)}. The error was: {e}")
+      return None, None, None
 
 def separate_prompt_output(text):
     if not text:
         return "", "", ""
-    
     if st.session_state.openai_api_key:
         title, prompt, output = analyze_with_llm(text)
         if all(v is not None for v in [title, prompt, output]):
             return title, prompt, output
-    
     parts = text.split('\n\n', 1)
     if len(parts) == 2:
         return "Untitled Conversation", parts[0].strip(), parts[1].strip()
@@ -101,25 +90,16 @@ with st.sidebar:
     if api_key:
         st.session_state.openai_api_key = api_key
 
-    # Dark mode toggle
+    # Dark mode toggle using checkbox
     st.markdown("---")
     st.markdown("## 🎨 Appearance")
-    dark_mode = st.toggle("Dark Mode", value=st.session_state.mode == 'dark')
+    dark_mode = st.checkbox("Dark Mode", value=st.session_state.mode == 'dark')
     st.session_state.mode = 'dark' if dark_mode else 'light'
-    
-    # Settings section
-    st.markdown("---")
-    st.markdown("## ⚙️ Settings")
-    auto_copy = st.checkbox("Auto-copy results to clipboard", value=False)
-    
-    if st.session_state.openai_api_key:
-        st.success("✓ API Key configured")
-    else:
-        st.warning("⚠ No API Key provided - using basic separation")
 
 # Main interface
 st.title("✂️ Prompt Output Separator")
-st.markdown("Utility to assist with separating prompts and outputs when they are recorded in a unified block of text. For cost-optimisation, uses GPT 3.5.")
+st.markdown(
+    "Utility to assist with separating prompts and outputs when they are recorded in a unified block of text. For cost-optimisation, uses GPT 3.5.")
 
 # Tabs with icons
 tabs = st.tabs(["📝 Paste Text", "📁 File Processing", "📊 History"])
@@ -130,6 +110,7 @@ with tabs[0]:
     
     # Input area with placeholder
     input_container = st.container()
+    
     with input_container:
         input_text = st.text_area(
             "Paste your conversation here...",
@@ -137,16 +118,16 @@ with tabs[0]:
             placeholder="Paste your conversation here. The tool will automatically separate the prompt from the output.",
             help="Enter the text you want to separate into prompt and output."
         )
-
-    # Process button
-    if st.button("🔄 Process", use_container_width=True) and input_text:
-        with st.spinner("Processing..."):
-            title, prompt, output = separate_prompt_output(input_text)
-            st.session_state.title = title
-            st.session_state.prompt = prompt
-            st.session_state.output = output
-            st.session_state.history.append(input_text)
-
+        
+        # Process button
+        if st.button("🔄 Process", use_container_width=True) and input_text:
+            with st.spinner("Processing..."):
+                title, prompt, output = separate_prompt_output(input_text)
+                st.session_state.title = title
+                st.session_state.prompt = prompt
+                st.session_state.output = output
+                st.session_state.history.append(input_text)
+    
     # Suggested Title Section
     st.markdown("### 📌 Suggested Title")
     title_area = st.text_area(
@@ -194,34 +175,35 @@ with tabs[0]:
 # File Processing Tab
 with tabs[1]:
     st.subheader("File Processing")
-    uploaded_files = st.file_uploader(
-        "Upload files",
-        type=["txt", "md", "csv"],
-        accept_multiple_files=True,
-        help="Upload text files to process multiple conversations at once"
-    )
-
-    if uploaded_files:
-        for file in uploaded_files:
-            with st.expander(f"📄 {file.name}", expanded=True):
-                file_content = file.read().decode("utf-8")
-                if file.name.endswith(".csv"):
-                    df = pd.read_csv(StringIO(file_content))
-                    for col in df.columns:
-                        processed_df = process_column(df[col])
-                        st.write(f"Processed column: {col}")
-                        st.dataframe(
-                            processed_df,
-                            use_container_width=True,
-                            hide_index=True
+    uploaded_file = st.file_uploader("Choose a file", type=['txt', 'csv'])
+    
+    if uploaded_file is not None:
+        try:
+            if uploaded_file.type == "text/csv":
+                df = pd.read_csv(uploaded_file)
+                column = st.selectbox("Select column to process", df.columns)
+                if st.button("Process CSV"):
+                    with st.spinner("Processing..."):
+                        processed_df = process_column(df[column])
+                        st.write(processed_df)
+                        st.download_button(
+                            "Download Processed CSV",
+                            processed_df.to_csv(index=False),
+                            "processed_data.csv",
+                            "text/csv"
                         )
-                else:
-                    title, prompt, output = separate_prompt_output(file_content)
-                    st.json({
-                        "Title": title,
-                        "Prompt": prompt,
-                        "Output": output
-                    })
+            else:
+                content = uploaded_file.getvalue().decode("utf-8")
+                if st.button("Process Text File"):
+                    with st.spinner("Processing..."):
+                        title, prompt, output = separate_prompt_output(content)
+                        st.session_state.title = title
+                        st.session_state.prompt = prompt
+                        st.session_state.output = output
+                        st.session_state.history.append(content)
+                        st.experimental_rerun()
+        except Exception as e:
+            st.error(f"Error processing file: {str(e)}")
 
 # History Tab
 with tabs[2]:
@@ -254,79 +236,89 @@ st.markdown(
     unsafe_allow_html=True
 )
 
-# Apply theme
+# Custom CSS for stats text to prevent them from overlapping
+st.markdown("""
+<style>
+.stats-text {
+    text-align: left;
+    font-size: 0.8em;
+    color: #888; /* Darker gray to fit the style */
+    margin-top: -10px; /* push the stats closer to the textarea */
+    margin-bottom: 10px;
+}
+</style>
+""", unsafe_allow_html=True)
+
+# Custom CSS to style dark mode
 if st.session_state.mode == 'dark':
     st.markdown("""
     <style>
-    body {
-        color: #fff;
-        background-color: #0e1117;
-    }
-    .stTextInput > div > div > input, .stTextArea > div > div > textarea {
-        color: #fff;
-        background-color: #262730;
-        border-radius: 8px;
-        border: 1px solid #464646;
-        padding: 15px;
-        font-family: 'Courier New', monospace;
-    }
-    .stButton > button {
-        color: #fff;
-        background-color: #4c4cff;
-        border-radius: 8px;
-        padding: 10px 20px;
-        transition: all 0.3s ease;
-        border: none;
-        width: 100%;
-    }
-    .stButton > button:hover {
-        background-color: #6b6bff;
-        transform: translateY(-2px);
-        box-shadow: 0 4px 12px rgba(76, 76, 255, 0.3);
-    }
-    .stMarkdown {
-        color: #fff;
-    }
-    .stats-text {
-        color: #999;
-        font-size: 0.8em;
-        margin-top: 5px;
-    }
-    </style>
-    """, unsafe_allow_html=True)
-else:
-    st.markdown("""
-    <style>
-    body {
-        color: #333;
-        background-color: #fff;
-    }
-    .stTextInput > div > div > input, .stTextArea > div > div > textarea {
-        color: #333;
-        background-color: #f8f9fa;
-        border-radius: 8px;
-        border: 1px solid #e0e0e0;
-        padding: 15px;
-        font-family: 'Courier New', monospace;
-    }
-    .stButton > button {
-        color: #fff;
-        background-color: #4c4cff;
-        border-radius: 8px;
-        padding: 10px 20px;
-        transition: all 0.3s ease;
-        border: none;
-        width: 100%;
-    }
-    .stButton > button:hover {
-        background-color: #6b6bff;
-        transform: translateY(-2px);
-        box-shadow: 0 4px 12px rgba(76, 76, 255, 0.3);
-    }
-    .stats-text {
-        color: #666;
-        font-size: 0.8em;
-        margin-top: 5px;
-    }
+        body {
+            color: #fff;
+            background-color: #262730;
+        }
+        .stTextInput, .stTextArea, .stNumberInput, .stSelectbox, .stRadio, .stCheckbox, .stSlider, .stDateInput, .stTimeInput {
+            background-color: #3d3d4d; /* Darker background for input widgets */
+            color: #fff; /* White text for better contrast */
+        }
+       .stButton>button {
+            background-color: #5c5c7a; /* Adjust button color */
+            color: white;
+        }
+         .stButton>button:hover {
+            background-color: #6e6e8a;
+            color: white;
+        }
+        
+        .streamlit-expanderHeader {
+            background-color: #3d3d4d !important;
+            color: #fff !important;
+        }
+        
+         .streamlit-expanderContent {
+             background-color: #3d3d4d !important;
+        }
+        
+        .streamlit-container {
+             background-color: #262730;
+         }
+        
+        .stAlert {
+            background-color: #3d3d4d !important;
+            color: #fff !important;
+        }
+
+        .st-ba {
+            background-color: #3d3d4d; /* Makes the body background dark */
+            color: #fff;
+        }
+        
+        .css-10trblm {
+            background-color: #3d3d4d;
+             color: #fff;
+        }
+        
+        .css-qbe2hs {
+            color: #fff;
+        }
+        
+        .css-1wtrr7o {
+            color: #fff;
+        }
+        
+        .css-103n16l {
+            color: #fff;
+        }
+        
+        .css-10pw50 {
+             color: #fff;
+        }
+        
+        .css-z5fcl4 {
+           color: #fff;
+        }
+        .css-1d391kg {
+            color: #fff;
+        }
     </style>
     """, unsafe_allow_html=True)

requirements.txt

@@ -1,5 +1,5 @@
 streamlit==1.24.1
 pandas>=2.0
-numpy<=1.25.1
+numpy
 openai==1.3.0
-pyperclip==1.8.2
+pyperclip==1.8.2