Create config.json

config.json

@@ -0,0 +1,50 @@
+{
+  "model_type": "custom",
+  "model_name": "Product-Review-Grader",
+  "description": "A model that analyzes product reviews, generates summaries, extracts pros and cons, and assigns grades based on sentiment.",
+  "schema": {
+    "preprocessing": {
+      "stopwords": [
+        "the", "is", "in", "at", "on", "a", "an", "and", "or", "for", "to", "of", "with", "that", "by", "it"
+      ],
+      "text_cleaning": "removes numbers, punctuation, and extra spaces, converts to lowercase"
+    },
+    "task": {
+      "name": "sentiment_analysis_and_grading",
+      "description": "Generates sentiment analysis and grades for product reviews using a fine-tuned Gemini model.",
+      "input": {
+        "review_text": "A string representing a product review."
+      },
+      "output": {
+        "sentiment_label": ["POSITIVE", "NEUTRAL", "NEGATIVE"],
+        "grade": "A float number from 1 to 5 representing the grade."
+      }
+    },
+    "summarization": {
+      "input": "Text from multiple reviews combined into a single string.",
+      "output": "A summarized string of the main points of the reviews."
+    },
+    "pros_and_cons_extraction": {
+      "input": "Text from multiple reviews combined into a single string.",
+      "output": {
+        "pros": "A string with pros extracted from the text.",
+        "cons": "A string with cons extracted from the text."
+      }
+    },
+    "parameters": {
+      "min_raters": 35,
+      "weighting_formula": "Weighted average combining product rating and global average rating."
+    }
+  },
+  "dependencies": {
+    "libraries": [
+      "streamlit",
+      "pandas",
+      "google-generativeai",
+      "os",
+      "json",
+      "re"
+    ],
+    "python_version": "3.10"
+  }
+}