Commit
·
127e868
1
Parent(s):
6f12f41
connected the front end flow and the back end flow to complete the application.
Browse files
index.py
CHANGED
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@@ -21,7 +21,7 @@ def main():
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#items = ['Item 1', 'Item 2', 'Item 3']
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#list to of Ingredients camptured
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ingredientsList =["apple", "orange", "mango"] #list()
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@@ -47,26 +47,16 @@ def main():
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session_state['ingredientsList'].append(classification)
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# Button to indicate done
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done_button = st.sidebar.button('Done')
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# Display the captured ingredients
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st.write("Captured Ingredients:", session_state['ingredientsList'])
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button_clicked = st.sidebar.button('Done')
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# Define content for each item
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content = {}
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for ingredient in ingredientsList:
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content[ingredient] = askGPT(f"Give me your estimate the calories, grams of protein, grams of sugar, grams of fat, and grams of carbohydrates per 100g of {ingredient} as a list")
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# Display expanders for each item
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for ingredient in ingredientsList:
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with st.sidebar.expander(ingredient):
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st.write(content[ingredient])
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displayRecipes(ingredientsList)
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# Display recipes if "Done" is clicked
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while not
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# Read a frame from the webcam
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ret, frame = cap.read()
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@@ -76,11 +66,21 @@ def main():
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# Display the frame in the Streamlit app
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video_placeholder.image(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB), channels="RGB", use_column_width=True)
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if
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cap.release()
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if session_state['ingredientsList']:
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session_state['ingredientsList'].pop()
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displayRecipes(session_state['ingredientsList'])
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def displayRecipes(ingredientsList):
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items = []
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#items = ['Item 1', 'Item 2', 'Item 3']
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#list to of Ingredients camptured
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#ingredientsList =["apple", "orange", "mango"] #list()
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session_state['ingredientsList'].append(classification)
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# Button to indicate done
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#done_button = st.sidebar.button('Done')
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# Display the captured ingredients
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st.write("Captured Ingredients:", session_state['ingredientsList'])
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button_clicked = st.sidebar.button('Done')
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# Display recipes if "Done" is clicked
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while not button_clicked:
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# Read a frame from the webcam
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ret, frame = cap.read()
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# Display the frame in the Streamlit app
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video_placeholder.image(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB), channels="RGB", use_column_width=True)
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if button_clicked:
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cap.release()
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if session_state['ingredientsList']:
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session_state['ingredientsList'].pop()
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displayRecipes(session_state['ingredientsList'])
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# Define content for each item
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content = {}
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for ingredient in session_state['ingredientsList']:
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content[ingredient] = askGPT(f"Give me your estimate the calories, grams of protein, grams of sugar, grams of fat, and grams of carbohydrates per 100g of {ingredient} as a list")
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# Display expanders for each item
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for ingredient in session_state['ingredientsList']:
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with st.sidebar.expander(ingredient):
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st.write(content[ingredient])
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displayRecipes(session_state['ingredientsList'])
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def displayRecipes(ingredientsList):
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items = []
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