Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -100,6 +100,43 @@ def detect_chart_type(client, image_data):
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st.error(f"Error in chart type detection: {str(e)}")
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return "Other"
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def continue_analysis_with_claude(client, question, previous_analysis, image_data=None):
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"""Continue the analysis based on a follow-up question"""
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try:
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@@ -282,16 +319,17 @@ def main():
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st.title("🚀 Chart Analysis AI")
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upload_option = st.radio(
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"Choose input method:",
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("Upload Image", "Take Screenshot", "Ask Question")
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)
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# File uploader
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if upload_option == "Upload Image":
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uploaded_file = st.file_uploader("Upload your chart", type=["png", "jpg", "jpeg"])
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if uploaded_file:
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st.session_state.current_image = uploaded_file.getvalue()
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elif upload_option == "Take Screenshot":
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if st.button("Take Screenshot", key="
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st.info("Feature coming soon! For now, please use the Upload Image option.")
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screenshot_taken = False
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@@ -300,13 +338,15 @@ def main():
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patterns = st.multiselect(
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"Patterns to Look For",
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["Double Top/Bottom", "Head and Shoulders", "Triangle",
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"Flag", "Wedge", "Channel", "Support/Resistance"]
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)
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indicators = st.multiselect(
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"Technical Indicators",
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["Moving Averages", "RSI", "MACD", "Bollinger Bands",
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"Volume", "Stochastic", "ADX"]
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)
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# Main content area
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@@ -396,8 +436,8 @@ def main():
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st.write(f"Follow-up: {chat['question']}")
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# Save chat options
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save_name = st.text_input("Save chat as (optional):")
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if st.button("Save Chat"):
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if st.session_state.chat_history:
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filename = save_chat_history(
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st.session_state.chat_history,
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@@ -412,8 +452,8 @@ def main():
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st.title("📚 Learn Trading")
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# Search or select trading concept
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concept = st.text_input("Enter a trading concept you'd like to learn about (e.g., 'evening star pattern', 'RSI', 'MACD'):")
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if st.button("Learn"):
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if concept:
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with st.spinner("Getting educational content..."):
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education_content = get_trading_education(client, concept)
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st.error(f"Error in chart type detection: {str(e)}")
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return "Other"
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def analyze_chart_with_claude(client, image_data, prompt, chart_type=None):
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"""Analyze chart using Claude Vision"""
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try:
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encoded_image = base64.b64encode(image_data).decode('utf-8')
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# If chart type wasn't provided, detect it first
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if not chart_type:
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chart_type = detect_chart_type(client, image_data)
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st.info(f"Detected chart type: {chart_type}")
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message = client.messages.create(
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model="claude-3-opus-20240229",
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max_tokens=1000,
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messages=[{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": prompt.format(chart_type=chart_type)
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},
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/jpeg",
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"data": encoded_image
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}
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}
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]
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}]
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)
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return message.content[0].text, chart_type
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except Exception as e:
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st.error(f"Error in Claude analysis: {str(e)}")
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return None, None
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def continue_analysis_with_claude(client, question, previous_analysis, image_data=None):
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"""Continue the analysis based on a follow-up question"""
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try:
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st.title("🚀 Chart Analysis AI")
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upload_option = st.radio(
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"Choose input method:",
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("Upload Image", "Take Screenshot", "Ask Question"),
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key="analysis_upload_option" # Added unique key
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)
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# File uploader
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if upload_option == "Upload Image":
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uploaded_file = st.file_uploader("Upload your chart", type=["png", "jpg", "jpeg"], key="analysis_file_uploader")
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if uploaded_file:
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st.session_state.current_image = uploaded_file.getvalue()
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elif upload_option == "Take Screenshot":
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if st.button("Take Screenshot", key="analysis_screenshot_button"):
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st.info("Feature coming soon! For now, please use the Upload Image option.")
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screenshot_taken = False
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patterns = st.multiselect(
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"Patterns to Look For",
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["Double Top/Bottom", "Head and Shoulders", "Triangle",
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"Flag", "Wedge", "Channel", "Support/Resistance"],
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key="analysis_patterns"
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)
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indicators = st.multiselect(
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"Technical Indicators",
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["Moving Averages", "RSI", "MACD", "Bollinger Bands",
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"Volume", "Stochastic", "ADX"],
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key="analysis_indicators"
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)
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# Main content area
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st.write(f"Follow-up: {chat['question']}")
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# Save chat options
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save_name = st.text_input("Save chat as (optional):", key="save_chat_name")
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if st.button("Save Chat", key="save_chat_button"):
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if st.session_state.chat_history:
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filename = save_chat_history(
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st.session_state.chat_history,
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st.title("📚 Learn Trading")
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# Search or select trading concept
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concept = st.text_input("Enter a trading concept you'd like to learn about (e.g., 'evening star pattern', 'RSI', 'MACD'):", key="learn_concept")
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if st.button("Learn", key="learn_button"):
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if concept:
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with st.spinner("Getting educational content..."):
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education_content = get_trading_education(client, concept)
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