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add regions (#1)
Browse files- add regions (1f270b1d9ffcbcd5feb7bc2065030f827fe428d5)
Co-authored-by: Khadija Bayoud <[email protected]>
app.py
CHANGED
@@ -15,6 +15,23 @@ def get_text():
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input_text = st.text_input("You: ", "", key="input")
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return input_text
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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@@ -32,7 +49,7 @@ def translate(text,source="English",target="Moroccan Arabic"):
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# Function to generate a response from the chatbot
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def generate_response(user_input):
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user_input_translated = str(translate(user_input, "Moroccan Arabic", "English"))
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name = 'Mohammed'
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@@ -51,7 +68,7 @@ def generate_response(user_input):
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<s> [INST] You are an agriculture expert, and my name is {name} Given the following informations, prevailing weather conditions, specific land type, chosen type of agriculture, and soil composition of a designated area, answer the question below
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Location: {location},
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Current Month : {date}
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land type: {
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humidity: {humidity}
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weather: {weather}
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temperature: {temp}
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@@ -116,6 +133,7 @@ def main():
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# sidebar_bg('bg.jpg')
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# Layout of input/response containers
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input_container = st.container()
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if st.button("Clear Chat"):
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st.session_state['past'] = []
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@@ -137,7 +155,7 @@ def main():
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## Conditional display of AI generated responses as a function of user provided prompts
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with response_container:
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if user_input:
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response = generate_response(user_input)
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st.session_state.past.append(user_input)
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st.session_state.generated.append(response)
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input_text = st.text_input("You: ", "", key="input")
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return input_text
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soil_types = {
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"Sais plain": "Brown limestone, vertisols, lithosols, and regosols",
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"Chaouïa, Doukkala, and Abda plains": "Rendzines associated with lithosols in the Atlantic coast and isohumic and vertisols inland",
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"Eastern High Plateaux and Moulouya Valley": "Sierozems and fluvisols",
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"Rif": "Brown soils associated with lithosols and regosols or vertisols",
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"Mamora and Zemmour plateau": "Sandy soil",
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"Middle Atlas": "Brown soils and rendzinas",
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"High Atlas": "Lithosols and regosols, in association with brown soils and sierozems",
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"Loukkos": "Mostly gleysols and brunified",
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"Rharb plain": "Gleysols and vertisols",
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"Central plateau": "In forested areas, soils are brown associated with lithosols and regosols. Elsewhere (Zaer), vertisols and gleysols dominate",
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"Plains and plateaux of north of the Atlas": "Lithosols (Rehamnas, Jebilete), sierozems associated with lithosols",
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"Argan zone": "Soils are mostly lithosols and regosols, associated with fluvisols and saline soils on lowlands",
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"Presaharan soils": "Lithosols and regosols in association with sierozems and regs",
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"Saharan zone": "Yermosols, associated with sierozems, lithosols, and saline soils"
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}
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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# Function to generate a response from the chatbot
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def generate_response(user_input,region):
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user_input_translated = str(translate(user_input, "Moroccan Arabic", "English"))
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name = 'Mohammed'
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<s> [INST] You are an agriculture expert, and my name is {name} Given the following informations, prevailing weather conditions, specific land type, chosen type of agriculture, and soil composition of a designated area, answer the question below
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Location: {location},
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Current Month : {date}
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land type: {soil_types[region]}
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humidity: {humidity}
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weather: {weather}
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temperature: {temp}
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# sidebar_bg('bg.jpg')
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# Layout of input/response containers
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input_container = st.container()
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selected_region = st.selectbox("Choose a region:", list(soil_types.keys()))
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if st.button("Clear Chat"):
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st.session_state['past'] = []
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## Conditional display of AI generated responses as a function of user provided prompts
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with response_container:
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if user_input:
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response = generate_response(user_input,str(selected_region))
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st.session_state.past.append(user_input)
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st.session_state.generated.append(response)
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