uploaded core model

interface.py

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+from transformers import pipeline
+import gradio as gr
+
+def generate_recommendations(party_on_weekends, flavor_preference, texture_dislike, price_range):
+    # Define the list of ingredients
+    ingredients = ["oranges", "apples", "pears", "grapes", "watermelon", "lemon", "lime"]
+
+    # Apply the rules based on user answers
+    allowed_fruits = ingredients.copy()
+
+    if party_on_weekends == "yes":
+        allowed_fruits = list(set(allowed_fruits) & set(["apples", "pears", "grapes", "watermelon"]))
+
+    if flavor_preference == "cider":
+        allowed_fruits = list(set(allowed_fruits) & set(["apples", "oranges", "lemon", "lime"]))
+
+    elif flavor_preference == "sweet":
+        allowed_fruits = list(set(allowed_fruits) & set(["watermelon", "oranges"]))
+
+    elif flavor_preference == "waterlike":
+        allowed_fruits = list(set(allowed_fruits) & set(["watermelon"]))
+
+    if "grapes" in allowed_fruits:
+        allowed_fruits.remove("watermelon")
+
+    if texture_dislike == "smooth":
+        if "pears" in allowed_fruits:
+            allowed_fruits.remove("pears")
+
+    elif texture_dislike == "slimy":
+        slimy_fruits = ["watermelon", "lime", "grapes"]
+        allowed_fruits = list(set(allowed_fruits) - set(slimy_fruits))
+
+    elif texture_dislike == "waterlike":
+        if "watermelon" in allowed_fruits:
+            allowed_fruits.remove("watermelon")
+
+    if price_range < 3:
+        if "lime" in allowed_fruits:
+            allowed_fruits.remove("lime")
+        if "watermelon" in allowed_fruits:
+            allowed_fruits.remove("watermelon")
+
+    elif 4 < price_range < 7:
+        if "pears" in allowed_fruits:
+            allowed_fruits.remove("pears")
+        if "apples" in allowed_fruits:
+            allowed_fruits.remove("apples")
+
+    return allowed_fruits
+
+def recommend_fruits(party_answer, flavor_answer, texture_answer, price_answer):
+    recommendations = generate_recommendations(party_answer, flavor_answer, texture_answer, price_answer)
+    return "Recommended fruits: " + str(recommendations)
+
+iface = gr.Interface(fn=recommend_fruits, 
+                      inputs=["text", "text", "text", "text"],
+                      outputs="text",
+                      live=True)
+iface.launch()

requirements.txt

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+transformers==4.27.0
+gradio==3.41.0